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indico

One of our core values as a company is about giving back and supporting our community. We regularly sponsor hackathons (over 10 so far this year!) to encourage students to get started in the exciting world of machine learning. Recently, we sponsored HackPrinceton. We found Waseem Khan’s ContextCam project particularly interesting, so we reached out… Read more

Sorting content into categories is a key task for recommendation systems, as well as for general data management. We’ve talked a lot about text data lately — for example, using topic tags to improve article suggestions for your readership, and how you can build a custom text classifier for your specific industry or task. We… Read more

PDF, or Portable Document Format, files were developed to enable people using different operating systems to open, review, and print files without altering any of the file’s original elements or design. Successful adoption of this format over the years means that there is now a wealth of information stored in PDF files. Extracting that information… Read more

In knowledge driven economies, it’s increasingly common for many jobs to revolve around the consumption and analysis of information. This may entail, for example, reading dozens of articles to draw conclusions about emerging trends. Doable, right? Imagine, though, if you were a financial analyst and had to read through hundreds of articles and reports each… Read more

Last week Nathan Lintz held a workshop at the Boston Machine Learning Meetup on the basics of TensorFlow. Video and slides below. Overview TensorFlow is a wonderful tool for rapidly implementing neural networks. In this presentation, we will learn the basics of TensorFlow and show how neural networks can be built with just a few… Read more

Earlier this month, Dan gave a talk at Sentiment Analysis Symposium discussing why businesses should consider adopting deep learning solutions. His slides and a video of the presentation are available for those of you who couldn’t make it — if you have any questions, click the little chat bubble at the bottom right hand corner… Read more

If you haven’t already played around with Custom Collections, now is a good time to get started — we’re offering a bounty for the best new image classifier created with our Custom Collections API. Custom Collections is one of our new training APIs that allows you to build your own machine learning model with roughly… Read more

Last week Dan Kuster held a workshop at General Assembly Boston on how machine learning is changing — and improving — the way digital marketers do their jobs. Video and slides below. Overview Machine learning allows a marketer to target people based on an actual understanding of their interests, habits, and personality, rather than typical… Read more

Earlier this month, Alec Radford — indico’s Head of Research — led a talk at Boston ML Forum. He presented an overview of recent work in generative modeling, including research that he, Luke Metz, and Soumith Chintala (FAIR) released in November 2015: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Video and slides below.… Read more

Did you miss Slater’s talk at General Assembly Boston on the rapidly growing field of machine learning? No problem — we’ve uploaded his slides so you can better understand how to integrate machine learning into your project or business. If you have any questions, reach out to us at contact@indico.io. About the event Machine learning… Read more